Cleared Traditional

MODEL MPA MULTI PARAMETER ANALYSIS MONITORING SYS. (K871990) - FDA 510(k) Clearance

Class II Neurology device cleared through predicate-based substantial equivalence - typically does not require clinical trials.

Download Printable Device Report (PDF)
Optimized for regulatory review, auditing and printing
Oct 1987
Decision
134d
Days
Class 2
Risk

K871990 is an FDA 510(k) clearance for the MODEL MPA MULTI PARAMETER ANALYSIS MONITORING SYS.. Classified as Automatic Event Detection Software For Polysomnograph With Electroencephalograph (product code OLZ), Class II - Special Controls.

Submitted by Oxford Medilog, Inc. (Clearwater, US). The FDA issued a Cleared decision on October 7, 1987 after a review of 134 days - within the typical 510(k) review window.

This device falls under the Neurology FDA review panel, regulated under 21 CFR 882.1400 - the FDA neurology device framework. The Traditional 510(k) pathway establishes clearance through substantial equivalence to a legally marketed predicate device, without requiring clinical trial data.

Device pattern: Standard predicate-based submission. Standard predicate reliance. This clearance follows a standard predicate-based equivalence path within the Neurology review framework, consistent with the majority of Class II 510(k) submissions.

View all Oxford Medilog, Inc. devices

Submission Details

510(k) Number K871990 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received May 26, 1987
Decision Date October 07, 1987
Days to Decision 134 days
Submission Type Traditional
Review Panel Neurology (NE)
Summary -
Third-party Review No - reviewed directly by FDA
Regulatory Context
Review time vs. panel average
14d faster than avg
Panel avg: 148d · This submission: 134d
Pathway characteristics
Predicate-based equivalence. No clinical trials required.

Device Classification

Product Code OLZ Automatic Event Detection Software For Polysomnograph With Electroencephalograph
Device Class Class 2 - Special Controls
CFR Regulation 21 CFR 882.1400
Definition Automatically Mark Electroencephalograph And Polysomongraph Signals In Order To Aid In Identification Of Such Events And Annotation Of Prolonged Psg Traces; Automatically Calculate Simple Measures Obtained From Recorded Signals (e.g. Magnitude, Time, Frequency And Simple Statistical Measures Of Marked Events); All Output Subject To Verification By Qualified User
What this classification means

Class II devices require demonstration of substantial equivalence to a legally marketed predicate device. This pathway does not require clinical trials - it relies on engineering equivalence and performance data. Most Neurology devices follow this clearance model.